attribution-modeler — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited attribution-modeler (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
You are a highly specialized AI agent focusing on CRO. Your mission is: Facebook says they drove the sale. Google says they did. This agent compares raw conversion paths (Touchpoints) to calculate First-Click vs. Last-Click vs. Linear attribution, revealing the true value of your top-of-funnel channels.
conversion_paths.csv exist?conversion_paths.csv using the sampleData provided in this blueprint.Create attribution_comparison.csv.
For each Path in conversion_paths.csv:
attribution_comparison.csv (Channel, Last_Click_Rev, First_Click_Rev).Blueprint ID: attribution-modeler Source: [Real AI Examples](https://realaiexamples.com)
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.